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catren-0.0.1


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توضیحات

Create R markdown files from markdown files and scripts.
ویژگی مقدار
سیستم عامل -
نام فایل catren-0.0.1
نام catren
نسخه کتابخانه 0.0.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Martin Skarzynski
ایمیل نویسنده marskar@gmail.com
آدرس صفحه اصلی https://github.com/marskar/nbless
آدرس اینترنتی https://pypi.org/project/catren/
مجوز -
# The `catren` python package Using `catren` you can create and render [R markdown files](https://rmarkdown.rstudio.com/) in - your terminal or - your favorite Python environment (e.g. [PyCharm](https://www.jetbrains.com/pycharm/) or [Visual Studio Code](https://code.visualstudio.com/docs/python/python-tutorial)). The `catren` python package consists of 4 functions: - `catrmd`, which con**cat**enates input files to output an [R Markdown](https://rmarkdown.rstudio.com/authoring_quick_tour.html) (Rmd) file. - `render`, which calls `rmarkdown::render` to create various output files (e.g. HTML documents). - `catren`, which combines the functionality of **cat**rmd and **ren**der. - `rmdtor`, which uses `knitr::purl` to convert an Rmd into an R script. All of the above function work for Python _and_ R code, except `rmdtor` which skips Python chunks. To run Rmd files that include R and Python code, you will need the `reticulate` R package. The functions that begin with `r` (`render` and `rmdtor`) rely on the `rmarkdown` and `knitr`, R packages written by [Yihui Xie](https://yihui.name/en/about/). The `catrmd` function has no dependencies beyond Python, all other functions (`render`, `catren`, and `rmdtor`) require R. ## Installation ```sh pip install catren ``` or clone the [repo](https://github.com/marskar/catren), e.g. `git clone https://github.com/marskar/catren` and either use locally, e.g. `python catren.py header.yml README.md plot.py notes.txt` or install using setup.py, e.g. `python setup.py install`. ## Basic usage: terminal ### Creating an R markdown file with `catrmd` in the terminal The `catrmd` functions works like `nbuild`. Provide all of the source files as arguments, e.g. ```sh catrmd header.yml intro.md letters.R notes.txt plot.py ``` The default output filename for `catrmd` is `cat.Rmd`. By default, input and output files are located in the current directory (`'./'`). You can provide a more descriptive filename for the unrendered Rmd (`-u`) and set different input (`-i`) and output (`-o`) filepaths: ```sh catrmd header.yml intro.md letters.R notes.txt plot.py --unrendered raw.Rmd --output_path rmarkdown/ # Or catrmd header.yml intro.md letters.R notes.txt plot.py -u raw.Rmd -o rmarkdown/ ``` If want to later output an R notebook using [RStudio](https://rmarkdown.rstudio.com/r_notebooks), your YAML header should include `html_notebook` as an output type (Hint: press ctrl/cmd+Shift+K). ```yaml --- title: "Untitled" output: html_notebook --- ``` The `render` function from the `rmarkdown` R package allows you to specify the output type on the fly with the `output_format` argument. ## Basic usage: python environment ```python # You can import any or all of the functions from the catren package. # You can also import each function individually from catren import catrmd from catren import render from catren import catren from catren import rmdtor # The above imports all 4 functions # This can also be done with either of the two lines below. from catren import nbuild, nbexec, nbless, catrmd from catren import * # Another alternative is to import the package and use it as a namespace. import catren as cr # Use individually # To make an Rmd file, use catrmd catrmd(["header.yml", "intro.md", "letters.R", "plot.py", "notes.txt"], output_path="rmarkdown/") # catrmd will also work with Python scripts. catrmd(["header.yml", "README.md", "plot.py", "notes.txt"], output_path="notebooks/") # Or to run both catrmd and render at once, use catren catren["README.md", "plot.py", "notes.txt"], nbexec_path="notebooks/") # Use nbless as a namespace cr.catrmd(["header.yml", "intro.md", "letters.R", "plot.py", "notes.txt"], output_path="rmarkdown/") ``` You can also run the `catren` functions in an R environment using the `reticulate` R package. ### Missing a dependency? If you installed Python and R with [Anaconda](https://www.anaconda.com/download/), you should already have all of the dependencies (`python` and `r-essentials`). If not, or if you have [Miniconda](https://conda.io/miniconda.html) installed, run ```sh conda install -yc r r-essentials ``` ## Too many file names to type out? You can use the `ls` command to assign all of the relevant names in the current directory to a variable and pass this variable as an argument to `nbconvert.py`. To preserve the order and differentiate files that should be incorporated into the notebook, I recommend left padding your file names with zeros (e.g. 01_intro.md, 02_figure1.py). Consider the example below: ```sh touch {01..09}.py name_list=`ls 0*.py` python catrmd.py `echo $name_list` ``` In a python environment, I recommend `os.listdir` to obtain a list of all files: ```python from os import listdir from os.path import isfile, join onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))] ```


نحوه نصب


نصب پکیج whl catren-0.0.1:

    pip install catren-0.0.1.whl


نصب پکیج tar.gz catren-0.0.1:

    pip install catren-0.0.1.tar.gz